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首页> 外文会议>2011 Membrane technology conference amp; exposition. >Models to Predict Organic Contaminant Removal by RO and NF Membranes
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Models to Predict Organic Contaminant Removal by RO and NF Membranes

机译：用于预测反渗透和纳滤膜去除有机污染物的模型

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摘要

This paper presentation will summarize recently completed work on a project funded by the WateReuse Research Foundation entitled "Predictive Models to Aid in the Design of Membrane Systems for Organic Micropollutant RemovaF'. The goal of the project was to develop a model to predict organic contaminant removal during water reuse applications employing high-pressure membranes. Various modeling approaches were evaluated including the phenomenological model, the hydrodynamic model, the Donnan steric pore model, the solution diffusion model, the surface force pore model and quantitative structure property relationship models. Bench-scale experiments were conducted using approximately 110 organic compounds and two membranes (one RO and one NF membrane) to develop a robust data set for model development and validation. Modeling approaches developed using bench-scale experimental data were incorporated into mass balance models to describe rejection performance for pilot- and full-scale membrane systems. The developed modeling approaches were subsequently validated using rejection data generated through pilot-scale testing and full-scale sampling campaigns performed at water reuse facilities.
机译：本文的演讲将总结由WateReuse研究基金会资助的题为“有机微污染物RemovaF膜系统设计的预测模型”的项目最近完成的工作。该项目的目的是建立一个模型来预测有机污染物的去除在使用高压膜的水回用过程中，评估了各种建模方法，包括现象学模型，流体动力学模型，Donnan空间孔模型，溶液扩散模型，表面力孔模型和定量结构性质关系模型。使用大约110种有机化合物和两种膜（一个反渗透膜和一个NF膜）进行了实验，以建立用于模型开发和验证的可靠数据集，并将基于实验规模的实验数据开发的建模方法纳入了质量平衡模型，以描述排斥性能用于飞行员和全尺寸膜新系统。随后，使用通过中水回用设施进行的中试测试和大规模采样活动生成的剔除数据对开发的建模方法进行了验证。

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